Background
In our previous work, we analysed the factors that drive reduced prediction accuracy of polygenic scores for height in individuals with African ancestry.
We saw that SFS and LD play a role, but there is also suggestive evidence that differences in marginal effect sizes exist.
In that study we ran a GWAS in ~8,000 individuals with African ancestry from the UKBB and tested for differences in marginal effect sizes between those and European derived effect sizes, as well as correlations of those differences with allelic frequency differences. Finally, we implemented ancestry-informed PRSs in the admixed individuals, and observed only very modest improvement in prediction accuracy.
It is possible that that modest improvement was due to our low sample size. So here we use a much larger sample size (about 58K African ancestry individuals and 91K total) to explore the potential of ancestry-informed PRSs for height.
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